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    • 2. 发明公开
    • Optimized
    • 优化的“高峰”电梯通道系统
    • EP0348151A3
    • 1990-01-31
    • EP89306221.6
    • 1989-06-20
    • OTIS ELEVATOR COMPANY
    • Thangavelu, Kandasamy
    • B66B1/20
    • B66B1/2458B66B2201/102B66B2201/211B66B2201/222B66B2201/302B66B2201/402B66B2201/403
    • An elevator system containing a group of elevator cars ( 1-4 ) and a group controller ( 32 ) having signal processing means ( CPU ) for controlling the dispatching of the cars from a main floor or lobby ( L ) in relation to different group parameters. During up-peak conditions, each car is dispatched from the main floor to an individual plurality of contiguous floors, defining a "sector" ( SN ). Sectors are contiguous, and the number of sectors may be less than the number of cars, and a floor can be assigned to more than one sector. Floors that constitute a sector assigned exclusively to a car are displayed on an indicator ( SI ) at the lobby. Cars are selected for assignment by grouping floors into sectors and appropriately selecting sectors, so that each elevator car handles more or less an equal predicted traffic volume during varying traffic conditions, resulting in the queue length and waiting time at the lobby being decreased, and the handling capacity of the elevator system increased. Estimation of future traffic flow levels for the various floors for, for example, each five (5) minute interval, are made using traffic levels measured during the past few time intervals on the given day as real time predictors, using a linear exponential smoothing model, and traffic levels measured during similar time intervals on previous days as historic traffic predictors, using a single exponential smoothing model. the combined estimated traffic is then used to group floors into sectors ideally having at least nearly equal traffic volume for each time interval.
    • 3. 发明公开
    • Contiguous floor channeling elevator dispatching
    • Aufzugsverteilung durch Sektoren von benachbarten Stockwerken。
    • EP0328423A1
    • 1989-08-16
    • EP89301358.1
    • 1989-02-13
    • OTIS ELEVATOR COMPANY
    • Thangavelu, KandasamyBittar, Joseph
    • B66B1/20
    • B66B1/2458B66B2201/102B66B2201/211B66B2201/215B66B2201/222B66B2201/302B66B2201/402B66B2201/403
    • An elevator system contains a group of elevator cars (2). A group controller (32) contains signal processing means for controlling the dispatching of the cars from a main floor. During up-peak conditions, each car is dispatched from the main floor to a "sector" of contiguous floors. Sectors are contiguous. Floors that constitute a sector are assigned exclusively to a car and are displayed on an indicator (SI) at the lobby. Sectors are selected for assignment according a preset order. Cars are selected for assignment to a selected sector according to a preset order. If no car calls are made to the floors in the assigned sector, the next sector is selected along with the next car. When an up hall call is made during the up peak period, the car that is most able to serve the call is selected from those cars assigned to a sector in the upper 2/3 of the building. Cars serving floors in the lower 1/3 of the building are never assigned to up hall calls during the up peak period.
    • 电梯系统包含一组电梯轿厢(2)。 组控制器(32)包含信号处理装置,用于控制轿厢从主楼层的调度。 在高峰期,每辆汽车从主层运送到连续楼层的“扇区”。 部门是连续的。 构成扇区的楼层专门分配给汽车,并显示在大厅的指示灯(SI)上。 根据预设顺序选择扇区进行分配。 选择汽车根据预设顺序分配给所选扇区。 如果在分配的扇区中没有对楼层进行车辆呼叫,则下一个扇区将与下一个轿厢一起选择。 当在高峰期间进行起堂时,可以从分配给建筑物上部2/3扇区的汽车中选出最能服务的汽车。 在高峰期期间,服务于建筑物下1/3处的地板的汽车从未被分配到起堂门厅。
    • 7. 发明公开
    • “人工智能”基础学习系统预测电梯调度“峰值期”
    • EP0444969A3
    • 1992-02-19
    • EP91301788.5
    • 1991-03-04
    • OTIS ELEVATOR COMPANY
    • Thangavelu, Kandasamy
    • B66B1/20
    • B66B1/2408B66B2201/222B66B2201/402B66B2201/403
    • The present invention is directed to an elevator dispatching system for controlling the assignment of elevator cars. More particularly, the present invention is directed to a method of determining the commencement and/or conclusion of UP-PEAK and DOWN-PEAK periods of operation. For example, for commencing UP-PEAK operation, a lobby boarding count is predicted, based on historical information of the number of passengers boarding the elevators at the lobby. The predicted lobby boarding count is compared with a predetermined threshold value. If the predicted lobby boarding count is greater than the predetermined threshold value, UP-PEAK is commenced. In the preferred embodiment, the predetermined threshold value is a predetermined percentage of the building's population. Additionally, the present invention is directed to a method of adjusting the threshold value based on actual passenger traffic. For example, once UP-PEAK is commenced, the load of the first few elevators leaving the lobby within a predetermined time interval is determined, and the threshold value is adjusted based on their predetermined load. If the determined load is greater than a certain percentage of the elevator car's capacity, indicative of starting UP-PEAK too late, the threshold value is decreased. Similarly, if the determined load is less than a certain percentage of the elevator car's capacity, indicatve of starting UP-PEAK too soon, the threshold value is increased.
    • 8. 发明公开
    • 在“人工智能”的扫描人类电流电梯轿厢分配基于设备。
    • EP0385811A1
    • 1990-09-05
    • EP90302292.9
    • 1990-03-05
    • OTIS ELEVATOR COMPANY
    • Thangavelu, Kandasamy
    • B66B1/20
    • B66B1/2458B66B2201/102B66B2201/211B66B2201/213B66B2201/214B66B2201/215B66B2201/222B66B2201/235B66B2201/243B66B2201/402B66B2201/403
    • An elevator control system employing a micro-proces­sor-based group controller, which communicates with the cars of the system to determine the conditions of the cars, and responds to hall calls regis­tered at a plurality of landings in the building serviced by the cars under control of the group controller, assigning hall calls to cars based on the weighted summation for each car, relative to each call, of a plurality of system response factors, some indicative, and some not, of conditions of the car irrespective of the call being assigned, assigning varying "bonuses" and "penalties" to them in the weighted summation. "Artificial intelligence" techniques are used to predict traffic levels and any crowd build up at various floors to better assign one or more cars to the "crowd" predicted floors, either parking them there, if they were empty, or more appropri­ately assigning car(s) to the hall calls. Traffic levels at various floors are predicted by collecting passenger and car stop counts in real time and using real time and historic prediction for the traffic levels, with single exponential smoothing and/or linear exponential smoothing. Predicted passenger arrival counts are used to predict any crowd at fifteen second intervals at floors where signif­icant traffic is predicted. Crowd prediction is then adjusted for any hall call stops made and the number of passengers picked up by the cars. The crowd dynamics are matched to car assignment, with one or more cars being sent to crowded floor(s).
    • 电梯控制系统采用微处理器的群控制器,其系统确定性矿汽车的条件的汽车行驶连通,并响应于在受控制的汽车服务着陆的在建筑物中的多个登记的门厅呼叫 组控制器的,分配的门厅呼叫,以基于针对每个车加权求和汽车,相对系统响应因素复数,对每个呼叫,一些指示,以及一些否,汽车的条件而不考虑被分配的呼叫 在加权求和分配不同的“奖金”和“惩罚”他们。 “人工智能”技术来预测交通量和任何人群在各个楼层建立能够更好地分配一个或多个车到“围观”预言地板,无论是泊车他们那里,如果theywere空,或者更恰当地分配车( S)大厅呼叫。 在各个楼层的交通水平通过实时采集客运和汽车停止计数,并使用实时和历史预测的流量水平,单指数平滑和/或线性指数平滑预测。 预计客运到来计数用在哪里显著流量预测楼层十五岁秒的间隔预测任何人群。 然后人群的预测调整为任何乘坐请求作出停止,乘客的数量由车接走。 人群动力学相匹配的汽车分配,与一个或更多的汽车被送到拥挤的地面(S)。